Data Sets for Discrete Probability Models
Overview
A wide collection of univariate discrete data sets from various applied domains related to distribution theory. The functions allow quick, easy, and efficient access to 100 univariate discrete data sets. The data are related to different applied domains, including medical, reliability analysis, engineering, manufacturing, occupational safety, geological sciences, terrorism, psychology, agriculture, environmental sciences, road traffic accidents, demography, actuarial science, law, and justice. The documentation, along with associated references for further details and uses, is presented.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-07-16
- WARNING12 OK, 1 WARNING2026-07-15
- OK14 OK2026-03-10
Documentation
- Help pages
- 101includes a package overview page
- Examples that run
- 100%100 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- not tracked
- Return-value docs
- 100%
- Help pages citing references
- 99%
Downloads
Dependencies
Installing DDPM adds no packages beyond those that come with R.
Code & Tests
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.1.0Latest2023-06-15 · current release
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-06-15
- Total releases
- 1 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 4.0
- Download size
- 34 KB
Cite
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Run in R for the authors' preferred citation:
citation("DDPM")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
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From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.